Artificial intelligence is not an autonomous intelligence hovering above material reality; it is a political metabolism that converts energy, land, labour, cultural expression and institutional trust into computational capacity. Data centres expose this dependence by placing model expansion within regional struggles over electricity, emissions and public infrastructure, while data feminism reveals that datasets, classifications and labour arrangements already embody structural power. Copyright disputes likewise demonstrate that training is not a singular act but a sequence of acquisition, copying, curation, memorisation and retrieval whose legitimacy depends upon purpose, provenance and market consequence. Within Socioplastics, these conditions require the corpus to be conceived not as an immaterial archive but as a cultural commons sustained by inspectable gateways between sources, machines and publics. A meaningful node must retain durable identity, permissions, contextual density and intellectual lineage as it migrates across repositories and interfaces. Persistent identifiers, interoperable formats, redundant storage, licensing statements and concise metadata therefore constitute ethical as well as technical devices. For example, an index may enhance discoverability while suppressing alternative relations; similarly, an API may widen access yet privilege computationally equipped actors. The project’s fifteen-year installed base of posts, exhibitions, images and institutional experiments provides a decisive case study: reactivation must preserve temporal and authorial difference rather than flatten heterogeneous materials into anonymous training feedstock. CitationalCommitment consequently names an infrastructural obligation to keep every transformation—from source to concept, operator, index and circulation—attached to its origins. By joining machine legibility to human contestability, Socioplastics establishes a counter-model in which scale becomes negotiable stewardship rather than concealed dispossession.
Showing posts with label data feminism. Show all posts
Showing posts with label data feminism. Show all posts
Sunday, August 2, 2026
Monday, June 29, 2026
Urban correction begins when the city’s official descriptions are no longer trusted as sufficient. Displacement, gentrification, misrecognition, datafication and infrastructure often produce realities that standard planning language cannot adequately register. KnowledgeFriction names the productive resistance that appears when evidence, lived damage, institutional categories and public truth do not align. It is not confusion. It is the necessary friction through which better urban knowledge becomes possible. This reader begins with displacement beyond removal. Knieriem, Lagendijk and van Leeuwen’s work on Rotterdam’s Tweebosbuurt shows that gentrification is not only the physical relocation of residents. It is also misrecognition: humiliation, civic erasure, disregard, denial of standing and the destruction of social dignity. Residents do not only lose space. They are told, directly or indirectly, that their attachments, histories and claims matter less than redevelopment narratives.
Schnelzer’s processual theory deepens this by distinguishing becoming displaceable, feeling displacing and un/doing displacement. Displacement is not a single event. It is a distributed condition that begins before eviction and continues after relocation. It includes vulnerability, anticipation, fear, manoeuvre, adaptation and the gradual reorganisation of everyday life. Elliott-Cooper, Hubbard and Lees call this un-homing: the destruction of home’s conditions before, during and beyond physical movement. Slater’s return to Marcuse insists that displacement must remain central to gentrification theory, not treated as an incidental or difficult-to-measure side effect. KnowledgeFriction emerges because these experiences often exceed available data. A rent increase can be measured. A demolition notice can be archived. But humiliation, anticipatory anxiety, loss of neighbours, symbolic erasure and civic disrespect are harder to count. This does not make them less real. It means urban knowledge must expand its evidentiary forms. DiagonalReading becomes a secondary operator because the problem must be read across categories: housing, affect, law, infrastructure, race, class, data, cartography, public language and bodily exposure.
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